[HTML][HTML] LRDADF: An AI enabled framework for detecting low-rate DDoS attacks in cloud computing environments
DDoS attacks, also known as distributed denial-of-service attacks, pose a significant risk to
networks in the cloud. The attackers aim to flood the target system with an overwhelming …
networks in the cloud. The attackers aim to flood the target system with an overwhelming …
An integrated SDN framework for early detection of DDoS attacks in cloud computing
AV Songa, GR Karri - Journal of Cloud Computing, 2024 - Springer
Cloud computing is a rapidly advancing technology with numerous benefits, such as
increased availability, scalability, and flexibility. Relocating computing infrastructure to a …
increased availability, scalability, and flexibility. Relocating computing infrastructure to a …
The application of Neural Prophet Time Series in predicting rice stock at Rice Stores
D Hindarto, F Hendrata, M Hariadi - Journal of Computer …, 2023 - jurnal.itscience.org
Efficient inventory management and consistent rice supply are pivotal for the sustainability of
small-scale food stalls. This research introduces an innovative approach to address this …
small-scale food stalls. This research introduces an innovative approach to address this …
Cloud‐based deep learning architecture for DDoS cyber attack prediction
Conventional methodologies employed in detecting distributed denial‐of‐service attacks
have frequently struggled to adapt to the dynamic and multi‐faceted evolution of such …
have frequently struggled to adapt to the dynamic and multi‐faceted evolution of such …
[PDF][PDF] Measurement: Sensors
DDoS attacks, also known as distributed denial-of-service attacks, pose a significant risk to
networks in the cloud. The attackers aim to flood the target system with an overwhelming …
networks in the cloud. The attackers aim to flood the target system with an overwhelming …